Andreas Keller

This study identifies sex-dimorphic molecular responses to microglial depletion in aged mice, highlighting differences in transcriptional and proteomic changes between males and females.

The paper profiles PBMCs from PD patients and controls using single-cell RNA sequencing after ex vivo activation, finding sex-convergent CD8+ T cell exhaustion associated with disease.

The paper presents 154 new Myxococcota genomes, expands taxonomy, and identifies novel natural products, highlighting their biosynthetic potential for drug discovery.

The paper shows re-replication is a physiological mechanism in human stem cell differentiation, increasing gene copy numbers to meet protein demands during differentiation.

This study identifies age- and sex-related changes in the mouse myelin proteome, revealing increased structural proteins and decreased cytoskeletal and synaptic proteins with aging.

The paper investigates gene amplification dynamics during chondrogenic differentiation of human mesenchymal stem cells and finds that amplifications are transient and stage-specific, correlating with proteoglycan deposition patterns.

The paper identifies age-related miRNA deregulation patterns in aging rhesus macaques, highlighting tissue and sex-specific changes and cross-species conservation.

The paper shows human and bacterial cells use extracellular vesicles and RNA cargo for bidirectional communication, affecting each other's physiology and gene expression.

This study benchmarks large language models for classifying pathogen-disease associations in post-acute infection syndromes using PubMed abstracts.

The paper identifies adenosine-specific gene programs in murine mast cells through bulk RNA-Seq, revealing novel mediators and pathways involved in adenosine-evoked inflammation.

This paper introduces an algorithm for error correction in scRNA-seq data, improving gene expression quantification efficiency and accuracy.

PBMCpedia harmonizes PBMC scRNA-seq data across 24 studies, providing standardized preprocessing, batch correction, and cell type annotation for reproducible immune profiling.

This paper uses VINE-seq to create a vascular transcriptomic atlas in Alzheimer's disease, revealing transcriptional changes in vascular cells and identifying angiopoietin signaling as a key dysregulated pathway.

ROSMAP-Compass harmonizes 22 million single nuclei from the ROSMAP cohort to create an AI-ready resource for Alzheimer's disease research.

SingleRust improves single-cell RNA sequencing analysis by optimizing memory and performance, enabling analysis of 30 million cells on standard infrastructure.

The paper identifies neuronal proteins that degrade slower with aging and accumulate in microglia, linking impaired synaptic protein turnover to age-related cognitive decline.

The paper creates a spatio-temporal miRNA atlas in mice, identifying age-related miR-155-5p increase driven by microglia, independent of sex.

The paper uses single-cell spatial transcriptomics to analyze brain samples from neurodegenerative diseases and COVID-19, identifying disease-specific transcriptional patterns and microenvironmental changes.

The paper constructs a multimodal brain cell atlas of adult macaques across their lifespan, revealing aging-related molecular changes and identifying aging hotspots and regulatory loci.

This study uses spatial transcriptomics to compare aging and infection effects across multiple organs in mice, identifying shared gene expression patterns in immune pathways.

The paper develops a model to predict mRNA stability based on microRNA expression data and applies it to design microRNA-responsive constructs with specific activity patterns across cell types.

This study identifies SRF as a transcriptional regulator of cytoskeletal genes in oligodendrocytes essential for myelination during development.

ABC-HuMi catalogs 19,218 biosynthetic gene clusters from the human microbiome, offering a comprehensive resource for exploring bioactive compound potential.

This study identifies molecular foci of brain aging in mice using spatiotemporal RNA-seq, showing accelerated glial aging in white matter and differential gene expression linked to neurodegenerative diseases.

This study uses single-cell RNA-sequencing to analyze cell type-specific responses to young or aged blood in heterochronic parabiosis, identifying mitochondrial function as a key factor in rejuvenation.

The paper analyzes single-nucleus transcriptomes from brain and choroid plexus tissues of COVID-19 and influenza patients, identifying broad transcriptional dysregulation in multiple cell types and linking these changes to neurological symptoms.

This paper introduces Swarm Learning, a decentralized machine learning approach for disease classification using transcriptomic data, demonstrating its effectiveness in developing classifiers for COVID-19, tuberculosis, and leukemias while preserving privacy.

The paper identifies aging-associated differences in vesicle-bound and freely circulating small regulatory RNAs in mice, showing tRNA fragments and miRNAs strongly correlate with aging.

VINE-seq yields 143,793 single-nucleus transcriptomes of human brain vascular and perivascular cells; 30 of the top 45 Alzheimer's GWAS genes are expressed there, many microglial in mice.

The paper analyzes sncRNA-seq data from the PPMI cohort to identify miRNAs associated with Parkinson's disease progression and systemic inflammation.